System modeling

The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.

7p viengfa 28-10-2024 1 1   Download

This paper is structured as follows. The following section presents related work. Section 3 summarizes the characteristics of the two datasets utilized in the model and the system’s overall architecture for image-based disease diagnosis. Section 4 provides our experimental results that compare the performance metrics with other studies.

6p viengfa 28-10-2024 1 1   Download

The paper explores the application of the Modal Truncation algorithm in Model Order Reduction, focusing on its effectiveness in reducing high-dimensional mathematical model. The algorithm identifies dominant modes governing dynamic responses, discards the high-order model, and reconstructs a new model with reduced dimensions.

6p viengfa 28-10-2024 2 1   Download

This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.

8p viengfa 28-10-2024 2 1   Download

Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets.

11p viengfa 28-10-2024 1 1   Download

This study introduces and evaluates the Long-term Traffic Prediction Network (LTPN), a specialized machine learning framework designed for realtime traffic prediction in urban environments.

12p viengfa 28-10-2024 1 1   Download

In industrial field, various automation techniques have been studied and applied to increase productivity, better accuracy and eliminate the human errors. This paper developed a model of the automatic defect sorting system to distinguish between qualified and defective products.

6p viengfa 28-10-2024 2 1   Download

This paper investigates the system performance of hybrid time-power switching based relaying (TPSR) energy harvesting enabled in the multisource half-duplex relaying network over the Rayleigh fading channel. The outage probability (OP) of the proposed system model with implementing maximal ratio combining (MRC) and selection combination (SC) technique at the receiver is presented and analyzed.

8p viling 11-10-2024 1 0   Download

This paper aims to propose a design of a type-2 fuzzy cerebellar model articulation controller for uncertain nonlinear systems, which achieves high stability and accuracy for controlling magnetic levitation systems. The proposed controller is a combination of a type 2 fuzzy logic system and a cerebellar model articulation controller.

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The objective of our study is to assess the effectiveness and efficiency of PRBT and IRKA in reducing the complexity of circuit models while retaining essential system characteristics. By systematically analyzing and comparing the outcomes of these algorithms, we aim to provide insights into their applicability and suitability for practical engineering applications.

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This study applies Wavelet analysis to develop a comprehensive method for detecting damage in spiral bevel gears within automotive drive systems. By utilising Wavelet analysis to examine the vibration signals of the gears, it is possible to identify spatial and temporal variations in the signals, thereby detecting signs of damage in the system.

12p vifilm 11-10-2024 4 0   Download

This paper introduces the application of artificial intelligence to build a security control software system in local military units. This software system uses state-of-the-art convolutional neural networks (CNN SOTA) for facial recognition by testing two of the best facial recognition models currently available: the FaceNet model and the VGGFace model.

8p vifilm 11-10-2024 5 0   Download

Through the process of analysing related documents and object characteristics in FMCG companies, paper aim to build vehicle roung with me window (CVRTW) model to optimize the delivering process, thus satisfying customer demand. To ensure the quality of the results, the model will be solved using the simulated annealing algorithm (SAalgorithm).

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This presentation will introduce the smart urban formation process with ideas and operational models. At the same time, we will introduce a smart city rating system based on the role of urban government and the community; thus, we will find the existing and building of the development orientation. Finally, we will present a case study to applying smart city model in Hanoi capital, Vietnam in the trend of sustainable development in the future.

8p vibecca 01-10-2024 5 1   Download

This research introduces the application of such a model in Hai Phong City and identifies the challenges and solutions to improve the implementation of traffic demand forecasting models in Vietnam. We believe that these results will support policymakers and researchers with a basis for enhancing the effectiveness of urban transportation planning, management, and operation.

5p vibecca 01-10-2024 5 1   Download

Model for energy and exergy analysis of absorption refrigeration using waste heat from textile factory has been built. The analysis that uses different models of heat exchangers are the overall heat conductance (UA) model, and the effectiveness model. The result show that the exergy loss in the generator and absorber are the larger than condenser and evaporator.

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This study focuses on examining the near-shore coastal current along the Soc Trang Province coast in Vietnam, considering the combined influences of waves, winds, and tides by utilizing a model in curvilinear coordinate system.

18p vibecca 01-10-2024 3 1   Download

In this study, a logistic regression model is developed to forecast tropical storm (TS) genesis in the Vietnam East Sea from 2012 to 2019. The model incorporates seven potential predictors including dynamic and thermodynamic parameters at formation time retrieved from the WRF-LETKF outputs.

12p vibecca 01-10-2024 2 1   Download

This study aims to investigate the characteristics of the salinization phenomenon in water systems and its controlling factors based on hydrogeochemical analysis, seawater-freshwater mixing model and End Members Mixing Analysis.

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The distribution network model is one of the sophisticated strategies being used in research to assess the state of household solid waste (HSW) management and calculate the quantity of greenhouse gas emissions from landfills in Nghia Ninh and Bao Ninh communes.

12p vibecca 01-10-2024 1 0   Download